Some diagnostics for a fitted gam model
The basis of the space of un-penalized functions for a TPRS
Monotonicity constraints for a cubic regression spline
Extract the formula from a gam object
Interpret a GAM formula
Hypothesis tests related to GAM fits
Smallest square root of matrix
Stable Multiple Smoothing Parameter Estimation by GCV or UBRE,
with optional fixed penalty
Fitted gam object
Functions implementing a pdMat class for tensor product smooths
GCV/UBRE score for use within nlm
Form component of GAMM covariance matrix
Generalized Additive Model residuals
Extract the log likelihood for a fitted GAM
Specifying generalized additive models
Generalized additive mixed model set up
Default GAM plotting
Extract model matrix from GAM fit
Get named variable or evaluate expression from list or data.frame
Summary for a GAM fit
Auxilliary information from magic fit
Prediction methods for smooth terms in a GAM
P-IRLS GAM estimation with GCV & UBRE derivative calculation
Extract the diagonal of the influence/hat matrix for a GAM
Generalized Additive Model default print statement
Generalized additive model set up
Automatically place a set of knots evenly through covariate values
Generalized Additive Model Selection
Setting mgcv defaults
Extract parameter (estimator) covariance matrix from GAM fit
Basis dimension choice for smooths
Detect linear dependencies of one matrix on another
Penalized Constrained Least Squares Fitting
GAM P-IRLS estimation with GCV/UBRE smoothness estimation
Generalized additive models with integrated smoothness estimation
Generalized Additive Mixed Models
Objective functions for GAM smoothing parameter estimation
Minimize GCV or UBRE score of a GAM using `outer' iteration
Multiple Smoothing Parameter Estimation by GCV or UBRE
Exclude prediction grid points too far from data
Prediction/Construction wrapper functions for GAM smooth terms
Alternatives to step.gam
Prediction from fitted GAM model
Utility functions for constructing tensor product smooths
GAM convergence and performance issues
find the unique rows in a matrix
Modify families for use in GAM fitting
Alternative to log parameterization for variance components
Constructor functions for smooth terms in a GAM
Overflow proof pdMat class for multiples of the identity matrix
Setting GAM fitting defaults
Identifiability side conditions for a GAM
Functions for better-than-log positive parameterization
Visualization of GAM objects
Setting GAM fitting method
Extract the data covariance matrix from an lme object
GAMs with GCV smoothness estimation and GAMMs by REML/PQL
GAMs with the negative binomial distribution
Define tensor product smooths in GAM formulae
Defining smooths in GAM formulae
Obtain a name for a new variable that is not already in use
Starting values for multiple smoothing parameter estimation